🧭 Overview
Artificial Intelligence is no longer emerging—it's already shaping decisions in hiring, healthcare, policing, education, and national security. But as the private sector charges forward, government struggles to catch up.
This post uses the THX Frameworks to examine whether government should intervene, when, and how. The answer? It must lead early—before harm is embedded in the code.
✍️ Key Topics Covered
Why AI is too powerful (and too biased) to be self-regulated
Where early guardrails and public investment matter most
A breakdown of AI through all five THX lenses: utility, flourishing, loss, admiration, and trust
Real examples of harm: from biased algorithms to deepfake identity theft
Why “Build Now, Hand Off with Safeguards” is the only ethical strategy
🧠 Who This Is For
Policymakers, tech ethicists, and AI researchers
Educators, employers, and healthcare professionals impacted by automation
Citizens concerned about algorithmic fairness and democratic resilience
Anyone asking, “Where is this headed—and who’s steering?”
🔥 Real-World Harms Covered
Amazon’s biased recruiting tool
Racially skewed policing algorithms (COMPAS)
AI hallucinations in legal and medical settings
Deepfakes used to manipulate elections and scam families
💬 Reflection Prompt
What if your job, diagnosis, or child’s education was shaped by an AI system you didn’t understand—and couldn’t challenge?
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